Cloud-based system and method to track and manage objects

ABSTRACT

A system, method and computer program product for integrated management of animate and inanimate objects of an enterprise, including a cloud-based server having a database, a website, and configured for running computer programs thereon; a user device including a smartphone, tablet and/or personal computer (PC) running an application or software including a gamified user interface (UI) configured to connect to the database and function as a data entry and display device; automated devices including a sensor, electronic switch, pump and/or a hydroponic dosing device connected to the database and configured to collect and transmit data or to react to received commands; an Artificial Intelligence (AI) powered engine configured to monitor statuses of animate and inanimate objects of an enterprise, as well as external conditions and actors that affect the enterprise, and based on analysis of the statuses, configured to task employees and/or the automated devices of the enterprise, and configured to employ cognitive reasoning to provide the enterprise with advice on managing business operations; and a framework employed by the AI engine based on a metaphor of a novel, with business operations of the enterprise presented as a story, and including a data model that follows rules of grammar.

CROSS REFERENCE TO RELATED APPLICATIONS

The present invention claims priority to U.S. Provisional Patent Application Ser. No. 62/324,532 of SUNDEL et al., entitled “CLOUD BASED SYSTEM AND METHOD TO TRACK AND MANAGE OBJECTS,” filed on Apr. 19, 2016, now pending, and U.S. Provisional Patent Application Ser. No. 62/372,593 of SUNDEL et al., entitled “CLOUD BASED SYSTEM AND METHOD TO TRACK AND MANAGE OBJECTS,” filed on Aug. 9, 2016, now pending, the entire disclosures of all of which are hereby incorporated by reference herein.

BACKGROUND OF THE INVENTION Field of the Invention

The present invention generally relates to object management systems and methods, and, more particularly, to a cloud-based system and method for managing animate and inanimate objects, and the like.

Discussion of the Background

In recent years, various systems and methods for object management have been devised. However, such systems and methods are not robust with respect to managing animate and inanimate objects involved in different business processes in an integrated manner, and the like.

SUMMARY OF THE INVENTION

Therefore, there is a need for a method and system that addresses the above and other problems. The above and other problems are addressed by the illustrative embodiments of the present invention, which provide a robust and efficient cloud-based system and method for managing animate and inanimate objects, and the like.

Accordingly, in illustrative aspects of the present invention there is provided a system, method, and computer program product for integrated management of animate and inanimate objects of an enterprise, including a cloud-based server having a database, a website, and configured for running computer programs thereon; a user device including a smartphone, tablet and/or personal computer (PC) running an application or software including a gamified user interface (UI) configured to connect to the database and function as a data entry and display device; automated devices including a sensor, electronic switch, pump and/or hydroponic dosing device connected to the database and configured to collect and transmit data or to react to received commands; an Artificial Intelligence (AI)-powered engine configured to monitor statuses of animate and inanimate objects of an enterprise, as well as external conditions and actors that affect the enterprise, and based on analysis of the statuses, configured to task employees and/or automated devices of the enterprise, and configured to employ cognitive reasoning to provide the enterprise with advice on managing business operations; and a framework employed by the AI engine based on a metaphor of a novel, with business operations of the enterprise presented as a story, and including a data model that follows rules of grammar.

The system, method, and computer program product include a plurality of the enterprises acting communally by sharing data that is aggregated for data mining and/or decision analysis.

The system, method, and computer program product include a supplier device of the enterprise configured to allow logging into the website and exchanging information with the enterprise, including order, delivery, and/or invoice information, thereby creating an online order management process for suppliers.

The system, method, and computer program product include a Kiosk coupled to the cloud-based server and configured to communicate with the employee of the enterprise, a customer of the enterprise, and/or people that interact with the enterprise, using facial recognition, natural language processing, and/or data input and display mechanisms, including publicizing information about the enterprise, including products and/or services of the enterprise, and including marketing third-party products and services.

Still other aspects, features, and advantages of the present invention are readily apparent from the following detailed description, by illustrating a number of illustrative embodiments and implementations, including the best mode contemplated for carrying out the present invention. The present invention is also capable of other and different embodiments, and its several details can be modified in various respects, all without departing from the spirit and scope of the present invention. Accordingly, the drawings and descriptions are to be regarded as illustrative in nature, and not as restrictive.

BRIEF DESCRIPTION OF THE DRAWINGS

The embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which:

FIGS. 1-6 are illustrative diagrams of a cloud-based system and method to track and manage objects;

FIGS. 7-29 are illustrative Use Cases for the cloud-based system and method to track and manage objects;

FIGS. 30-38 are illustrative Activity Diagrams for the cloud-based system and method to track and manage objects; and

FIGS. 39-43 are illustrative real-world examples for the cloud-based system and method to track and manage objects.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Referring now to the drawings, wherein like reference numerals designate identical or corresponding parts throughout the several views, and more particularly to FIGS. 1-43 thereof, there is illustrated a cloud-based system and method to track and manage objects, including the cloud-based system and method of FIGS. 1-6 , Use Cases of FIGS. 7-29 , Activity Diagrams of FIGS. 30-38 , and a real-world example diagrams of FIGS. 39-43 . In FIGS. 1-6 , Use Cases (FIGS. 7-29 ), Activity Diagrams (FIGS. 30-38 ), and real world example diagrams (FIGS. 39-43 ), the system and method can include software and/or hardware (referred to as “Ophanim”), including an integrated suite of smartphone and tablet apps and programs running on cloud-based servers that (i) monitors all aspects of the enterprise, (ii) provides employees with interactive activity lists and instructions via online displays, in-program messages, and SMS and email messages, (iii) directs automated devices to perform actions to supplement the employees' efforts, and (iv) creates a community consisting of the enterprise and entities with which it interacts. Combined with sensors and other automated data input devices; smartphones, tablets, laptops, and other personal data entry and display devices; electronic switches, pumps, dosers, and other automated devices that can react to commands; and the employees or other humans who use the software, a given instance of Ophanim creates an enterprise-wide Ophanim Ecosystem.

Accordingly, Ophanim can include various novel aspects, such as its functionality that allows managing all suitable operations of an enterprise in an integrated manner, the user experience, how it is written (including the data model), Artificial Intelligence (AI)-powered management and advice, and the like. Advantageously, what ties everything together and contributes to differentiating Ophanim from other business software is the humanizing of the user experience, including the AI aspect.

A gamification expert has noted that gamification is the craft of deriving all the fun and addicting elements found in games and applying them to real-world or productive activities. This is what is called “Human-Focused Design” as opposed to “Function-Focused Design.” It is a design process that optimizes for the human in the system, as opposed to pure efficiency of the system.

Ophanim does this through the metaphor of a novel, with the AI engine's operating like a novel's omniscient narrator (e.g., being able to manage the story of the enterprise and to further the story on its own). In addition, the data model follows the metaphor of a novel to make it understandable to users. In other words, to the extent possible, the database stores information about all of the enterprise's objects—human, other animate, and inanimate—in a similar way.

For a variety of reasons—ranging from cost, to lack of technical expertise, to the pressure to act reactively rather than strategically—small and medium-size businesses typically do not take advantage of modern software, in general, and AI, in particular. Ophanim addresses this situation by creating fun-to-use and easy-to-understand software that provides enterprise-level management support and that provides AI-powered management tools that will enable any size business to confront its day-to-day challenges with expert guidance.

Ophanim is unique in various ways. For example, unlike typical commercial software that focuses on a specific function (such as scheduling staff, managing inventory, or directing maintenance) or a small number of related functions, Ophanim manages all aspects of a business's operations in an integrated fashion.

In addition, unlike typical commercial software, Ophanim is designed to be understandable to users. In order to accomplish this, Ophanim manages the business using the metaphor of a novel, with:

Author=the person running Ophanim.

Setting=the environment being managed, such as a for-profit bakery, a non-profit boarding school, a logistics company, a for-profit farm, a household, or a high-school student's schedule.

Scene=a discrete business operation within the overall Setting, such as maintenance, inventory management, or retail sales.

Plot=the time frame and ultimate goal of the Author, such as long-term profit maximization, short-term cost minimization, nine-month stress minimization, or long-term employee happiness.

Characters=the people who will be managed, such as employees, customers, family members, visitors, or students.

External Agents=entities existing outside of the Setting that interact with Characters.

Plot Devices=automated processes that create Events.

Things=the non-human objects that will be managed.

Proper Nouns=Characters and Things that are unique instances of specific types of objects.

Common Nouns=Characters and Things that are not unique instances of specific types of objects.

Internal Events=occurrences brought about by the Characters or Plot Devices that affect other Characters or Things.

External Events=occurrences brought about by people or natural events outside of the Setting that affect Characters or Things.

Immutable Adjuncts=defining Adjuncts of Characters and Things that cannot change and that determine how Events affect them.

Mutable Adjuncts=defining Adjuncts of Characters and Things that can be changed and that might determine how Events affect them.

Families=collections of Characters and Things that share certain key Adjuncts.

Actions=Discrete tasks to be performed by Characters and certain Proper Nouns.

Activities=Groups of related Actions or single self-contained Actions.

Omniscient Narrator=Ophanim's AI engine that continuously monitors Characters and Things' Mutable Adjuncts, Internal Events, and External Events, and assigns Actions and Activities to Characters in furtherance of the Plot.

Further, unlike traditional commercial software, Ophanim is written in such a way that it stores and manipulates data similarly to how management uses information to operate the business. This approach helps to make Ophanim usable by entities operating in a very wide range of industries and environments.

Further, unlike traditional commercial software, Ophanim invites entities with which the enterprise interacts to act communally, either by becoming a fellow Ophanim subscriber or, in the case of a supplier, by exchanging order, delivery, and invoicing information online via the enterprise's Ophanim Website.

Finally, in order to overcome the problem that small and medium-size businesses often cannot benefit from AI systems due to the lack of enough data for effective data mining and decision analysis, Ophanim collects data from participating businesses, scrubs it to remove confidential information, and combines it to form a large volume of data. Ophanim thereby makes it possible for users to take advantage of AI-based guidance based on data mining.

Common reasons for business failures include:

Insufficient cash flow.

Offering products that are not in demand.

Ineffective marketing.

Lack of required skills to run the business.

Inability to build a team.

Inability to create the systems necessary to run the business.

In sum, businesses often lack the managerial skill and bandwidth that they need to succeed. AI models could be helpful, as they could guide such businesses to overcome the challenges noted above. However, AI models commonly require a vast amount of data for machine learning, which is something that often is not readily available.

Ophanim software is different from existing task management software in advantageous ways. These advantages can be illustrated in the context of a deployment to operate an indoor hydroponic-based park, as the software treats the park enterprise as a whole even though widely different activities with no apparent connection to each other (such as farming, food service, and visitor education) are taking place. One benefit of this approach is that park employees can be directed to perform functions outside of their comfort zones, thereby making staffing more efficient and empowering the employees. For instance, a given employee might be measuring the height of a pepper plant growing in a hydroponic display and then, 10 minutes later, making a cappuccino for an espresso bar customer.

Second, Ophanim software keeps track of every animate or inanimate object introduced into the enterprise in terms of the object's original status, any changes in that status, and, if relevant, the object's final status. The specific data elements stored for a given object vary depending on the object's nature. For instance, “Edible” is a required field for plants but not for kitchen equipment. Nevertheless, conceptually, Ophanim treats all objects similarly. One way to think of this approach is that Ophanim makes traditional inventory control software unnecessary by extending task management to all of the enterprise's objects, not just its employees.

Third, Ophanim software is interactive and fun to use. Instead of simply being instructed to perform certain repetitive functions, employees might be reacting to politely-phrased directions sent to them on their personal devices, and then providing feedback that affects what they and their colleagues are requested to do. This makes the employees active participants in the enterprise's success. For instance, if the employee measuring the plant's height notices that a nearby plant looks wilted, they can enter an observation into their smartphone and thereby change the park's entire staffing plan for the next hour. Depending on how the other employees are currently occupied, they might be requested to measure the pH of the reservoir associated with the wilted plant, while another employee with customer-facing experience is asked to move from the kitchen to the espresso bar and a third employee is shifted from the greenhouse to the kitchen.

Fourth, the Ophanim Ecosystem is constantly developing new skills. Typical task management software consists of a database and a user interface. Over time, the database grows increasingly populated, but the software's core functionality does not improve. In contrast, a given enterprise's Ophanim Ecosystem functionality keeps improving. That is due to learning on the part of both the software itself and the employees who are using it. Ophanim software encourages employees to learn how to perform new Activities by assigning the employees to Activities that are slightly beyond their current levels of competence, and then helping the employees to gain the necessary skills. An example of this “stretching” would be the Ophanim AI Engine's directing an employee to staff the park's espresso bar for the first time and simultaneously making available a YouTube video that demonstrates the use of the espresso bar's automated espresso machine.

Fifth, the Ophanim Ecosystem is designed so that all of the enterprise's objects are used as efficiently as practicable. In the case of an employee, this means that Activities are assigned in a way that strengthens the employee's motivation. For instance, rather than assigning the employee first one Action, then a second one once the employee completes the first one, and then a third Action after that, the Ophanim AI Engine might send the employee a list of three Actions to be completed within a certain amount of time and leave it to the employee to decide the order in which to complete them. The Ophanim AI Engine might also provide constructive feedback regarding the manner in which the employee reacted to the Activity list. In the case of non-human objects, the Ophanim Ecosystem similarly will endeavor to maximize their usefulness to the enterprise. For instance, the Ophanim AI Engine might determine that there are four gallons milk set to expire the next day, and that, based on historical consumption patterns, the espresso bar will use only one of them in time. Therefore, the Ophanim AI Engine might task two kitchen employees to make three of the gallons into yogurt by closing time.

Structure and Approach

The Ophanim Ecosystem has the following illustrative components:

Integrated SQL and non-SQL databases (the Ophanim Database) running on cloud-based servers.

Data collectors, including automated sensors, humans using the Ophanim App on their personal devices, and humans logged onto the Ophanim Website, which transmit information about relevant data elements to the Ophanim Database.

The Ophanim AI Engine running on cloud-based servers, which uses Artificial Intelligence to analyze the relevant information stored in the Ophanim Database in order to create Activity lists or otherwise to direct Actions.

The Ophanim App, which allows an authorized user to configure the Ophanim Database, record values, and/or manage an Activity list.

The Ophanim Website, which, depending on permissions, allows an authorized user to access some or all features of the Ophanim software.

Ophanim software approaches the challenge of managing the enterprise through a framework based on the metaphor of a novel, which Dictionary.com defines as follows:

A fictitious prose narrative of considerable length and complexity, portraying characters and usually presenting a sequential organization of action and scenes.

Numerous Actions are taking place in the enterprise's facility at any one time, with some Actions proceeding independently and others being affected by or affecting still more Actions. Both Characters such as employees and certain Things such as the HVAC system react to these Actions, usually, but not always, sequentially. Some Scenes are apparent to people at the facility, while others run in the background—including outside of the facility. The Ophanim AI Engine is akin to a novel's omniscient narrator: it is aware of everything taking place and, building on what has occurred, it directs future Actions in an internally logical manner. For instance, based on what day it is (e.g., a school holiday) and the current local weather (e.g., cold and wet), the Ophanim AI Engine might request two employees to come to work an hour early to deal with the unusually large number of visitors anticipated that day.

In FIGS. 1-6 , the following tables describe the various components of the system and method.

FIG. Item # Description 1 101 Weather Company Web Service - retrieves current weather conditions for the space 1 102 Temperature Sensor - both handheld and stationary broadcast 103 CO2 Sensor 1 104 Light Sensor to capture ambient, foot candles and color spectrums 1 106 Processing Cloud 1 107 Internet Network 1 108 Readings Process - accepts the input from any device and applies the value before triggering another Action assessment 1 109 Trigger queue that is input to the AI Activity analysis 1 110 Readings Database - used to track readings and Actions that occur with respect to certain Proper Nouns 1 111 Weight sensor 1 112 RFID Reader - locates inventory items as they move through the space 1 113 Water level sensor 1 114 pH Sensor - both handheld and stationary broadcast 1 115 Electrical Connectivity (EC) Sensor - both handheld and stationary broadcast 1 116 Humidity Sensor

FIG. Item # Description 2 201 Laptop - for input from a user 2 202 Tablet - for input from mobile employees 2 203 Bar Code Scanner - for inventory item selection 2 204 Video Camera - stationary cameras for watching inventory or mobile for collecting Adjuncts 2 205 Data Message Processor - receives data from the laptop and tablet and validates it 2 206 Natural Language Processor - interprets user comments and converts them to data messages 2 207 Photo Analyzer - interprets photos and creates Adjunct updates 2 208 Video Analyzer - interprets video sequence and creates Adjunct updates 2 209 Readings Database - used to track readings and Actions that occur with respect to certain Proper Nouns 2 210 Readings Process - accepts the input from any device and applies the value before triggering another Action assessment 2 211 Lexicon Neural Network - defines the relationship between all data items 2 212 Trigger queue that is input to the AI Activity analysis 2 213 Processing Cloud

FIG. Item # Description 3 301 Receipt Printer 3 302 Restaurant/Kitchen Management System 3 303 Manufacturing Management System (ERM/CRM) 3 304 Activity Management Software Running on a tablet or Laptop 3 305 Bar Code Scanner - for inventory item selection 3 306 Bar Code Label Printer - for inventory tags 3 308 Readings Database - used to track readings and Actions that occur with respect to certain Proper Nouns 3 309 Lexicon Neural Network - defines the relationship between all data items 3 310 Readings Process - accepts the input from any device and applies the value before triggering another Action assessment 3 311 Adjustment Process - updates the Adjuncts of Proper Nouns 3 312 Data Message Processor - restructures messages from other management processes 3 314 Trigger queue that is input to the AI Activity analysis 3 315 Time Related Action Process - reviews each Proper Noun 3 316 Processing Cloud

FIG. Item # Description 4 401 Proper Noun Time Assessment - reviews each Proper Noun to determine if it has expired or requires an Action to be performed 4 402 Proper Noun Reading Assessment - reviews the readings for the Proper Noun and adjusts the Actions 4 403 Adjunct Change - process for handling changes to Adjunct values 4 404 Action Feedback - will assess the feedback from the Character and alter Proper Noun-related Actions or Adjuncts 4 405 Proper Noun Change Queue - list of changes to be applied 4 406 Lexicon Neural Network - defines the relationship between all data items 4 407 Proper Noun Action Assessment - reviews the Actions to be performed for a Proper Noun to determine what is required 4 408 Currently Logged In database 4 409 Noun Rules for applying the Adjunct values for creating the Activity list 4 410 Action Distribution - determines which current Character is available and skilled enough to perform the Action 4 411 Tablet or laptop application that displays the Activity list for the day for this Character

FIG. Item # Description 5 501 Family - represents a list of related Proper or Common Nouns 5 502 Nouns 5 503 Proper Nouns 5 504 Verbs 5 505 Family - represents a list of related Nouns 5 506 Nouns 5 507 Proper Nouns

FIG. Item # Description 6 601 Display of an Action to be done 6 602 Display of the list of Actions after an Action has been completed 6 603 Done button - tells the System that the Action has been completed 6 604 Processing Cloud 6 605 Natural Language Processor - interprets user comments and converts them to data messages 6 606 Message Parser to interpret new messages from the tablet or laptop application 6 607 Action Completion Process - marks the Action as complete and triggers the Action assignment process that it can reassess the Proper Noun-related Actions for the next Action 6 608 Fuzzy Logic model that uses probabilities of skill level, performance on previous Actions, and other user feed- back to select Characters for given Actions

According to illustrative embodiments, FIGS. 7-29 include use cases, which illustrate possible implementations of the as-described software and/or hardware, and with integrated diagrams and/or detailed descriptions thereof.

One implementation of an Ophanim Ecosystem can be in an indoor park or similar facility. Described below are the various interactions (use cases) that will occur among actors and the various server processes in such a case. Although this is a specific implementation of an Ophanim Ecosystem, conceptually it is similar to any other implementation in that there are multiple server processes operating and multiple actors (both human and non-human) interacting with those processes.

The illustrated use cases are broken up by the system that will be supporting them. The processes implicated include the following:

Activity Management,

Information Kiosk and Visitor Interactions,

Inventory Management,

Sound System Management,

Corporate Event Management, and

General Management.

Each use case can include the interaction from each actor (usually a human but at times a sensor or other automated device) and the system. Additionally, the interaction between the System and the server-based information is also outlined.

The age of the actor will affect the content of any response and selection list for games and other activities.

Activity Management

The following use cases are related to production of Activity lists for employees, volunteers, and automated devices. An activity can include any Action that is required by any operation.

1. Retrieve Activity List

The Activity list is personalized for each actor depending on Adjuncts such as when they are available or the certifications and skill level necessary for the various Actions.

Actors:

Employee

Volunteer

Server Process or Service

Preconditions

The actor must be known to the system as someone or something that can receive Activities.

Basic Flow

FIG. 7 shows how most requests for Activities will be handled. The system will first validate if the requestor (item #s 701-705) is valid. The challenge is determining if the actor is qualified for a particular Activity (item #s 706-710) as accomplishing this involves gray areas of Adjunct checking (close may be good enough). For checking of “stretch” qualifications, the Adjuncts may be just out of the gray range but the actor has expressed an interest to learn. Once the Activities are selected and training material is added to them, the list will be forwarded to the requesting system (Items #s 711-713).

Alternative Flow

FIG. 8 shows that for machine actors, the data flow changes somewhat because the amount of time does not need to be checked. The selection will be done based on whether the server has the executable to run and whether the Action start time has arrived. This is illustrated in items 801-809.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Errors—If the actor already has Activities in their list, forward them. Follow that with email or text to the support staff.

Empty Activity Queue—If there is nothing in the Activity queue, a query should be generated to retrieve any “always do” Actions.

Communication Link Failure—If there is a network failure, all Actions in the actor's list will be freed and placed back in the Activity Queue.

Post Conditions/Result

A list of the Actions containing the following will be sent to the actor:

Work Steps—description, images, video

Video demonstration

List of required supplies, equipment and anything else required to perform the Action

Must Start Time—if the Action should start by a certain time

Must Complete Time—if the Action should end by a certain time

The Activities will be updated in the queue to log to which actor each Action was assigned and when.

2. Start an Activity

Every Activity list that is issued must provide back a start, a turn back, or a time out. In this case, the start of the Activity is documented. It means that the actor has decided to begin the first Action and to start recording the Actions taken, the results to be gathered along with any feedback from the actor.

Actors:

Employee

Volunteer

Server Process

Preconditions

The requesting person/machine must be known to the system as someone or something that can start an Activity. Additionally, the Activity had to have been assigned to the actor.

Basic Flow

FIG. 9 shows how starting an Activity list will be handled. The basic flow is to check that the actor sending in the message was assigned the Activity and has the time to complete it (Item #s 901-908). The server will return a message that indicates that the Activity can be started (Items #s 909-912). Upon that notification, if the actor is a human using an application, the application will present them with the list of work steps and training materials.

Alternative Flow

FIG. 10 shows that for machine actors, the data flow changes somewhat because there are no work steps (Item #s 1001-1008). There is only the running of an executable (Item #s 1009-1010).

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Errors—If the start message is ready then send it. Otherwise, Ophanim will not error on the side of caution and send a start “OK” message. The system should queue any information that still needs to be updated in the database.

Communication Link Failure—If there is a network failure, the server will attempt to connect to actor. If after three attempts to connect, the actor cannot be found, their Activities will be freed and messages will be sent to the support staff.

Post Conditions/Result

The actor will be presented with the work steps for each Action and a list of the supplies necessary to complete the Action.

The work steps will include a description and training materials (images, videos, etc.).

For the human actors, a small clock will start that can be set to count down or up by the actor. This mechanism is in place to provide challenges to completing an Action.

3. Report a Reading

While completing a given Action, the actor may need to report Adjunct readings. These are measurements, observations and data from monitoring systems and used in the AI management algorithms. The process of sending in the recorded reading message will be generalized for the purposes of simplifying the software.

Reading can be derived from any of the following:

Equipment where the value is inputted as the reading. For instance, the value on a pH tester will be inputted.

Observation will be where a person is giving a subjective opinion of an Adjunct. An example will be leaf color where a person may say the color is Forest Green. The possible readings will be limited to reduce the effect of subjectivity to the extent possible (e.g., the person will have to choose a color from a list).

Automated sensor that takes a reading and then sends it to the server.

The readings are used to determine:

If further Actions are needed with respect to the Thing.

If other Things require an Action.

Whether there are any unintended consequences as a result of this Action or other Actions on other Things.

Actors:

Employee

Volunteer

Server Process and Service

Automated Sensors

Preconditions

The person/machine/sensor must be known to the system as someone or something that can enter readings. The reading must also contain the proper identifier of the Thing and the Adjunct being measured.

Basic Flow

FIG. 11 shows how a reading will be received from an actor or server actor (Item #s 1101-1105) and then processed (Item #s 1106-1107). A notification of new readings on a Thing is then sent to the process that is assessing new activities (Item #s 1108-1112) to determine if further action may be needed.

Alternative Flow

For automated sensor actors, FIG. 12 shows that the data flow changes somewhat because many of those processes require the data to be pre-processed before being added to the database. The data is sent to a process that reformats the data (Item #s 1201-1206) and creates the proper reading information. A notification of new readings on a Thing is then sent to the process that is assessing new activities (Item #s 1207-1209) to determine if further action may be needed.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Errors—If the reading does not get saved, the data is queued and then retried after the database becomes available.

Post Conditions/Result

New reading data will be added to the database. That data is now available to be considered as the conditions of all Things are analyzed to determine if an Action is necessary and whether a particular Activity caused some unintended consequences.

4. Get Education on a Work Step

There will be times when an actor may need some instruction on completing an Activity or Action. This use case is about how a person will invoke the various methods to view training material and the events that take place after the training has been completed.

Actors:

Employee

Volunteer

Basic Flow

FIG. 13 shows how a person will invoke the various methods to view training material. The initial training material will be downloaded with the activity information. The process starts with the user selecting the type of training material (Item #s 1301-1305). The material is then formatted and displayed (Item #s 1306-1309). If the actor decides more information is required, they can formulate a question which will (Item #s 1306-1323):

Be converted to text if it was spoken.

Then need to be put through Retrieval software that will select from local and public sources to answer the question.

All material will be returned to the actor.

Once the training is complete, a message is sent to the server so that the actor's Adjuncts can be updated as they have now been trained.

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Missing Training Content—Generate a message and send it to the server to download the necessary information.

Post Conditions/Result

The actor will receive the information and then provide feedback on whether the information was helpful. Upon the successful completion of the training, a message is sent to server to update the actor's Adjuncts to include the Activity's training.

5. Send Feedback On Work Steps

Feedback will be used to determine whether the work steps for a particular Action need to be changed. A new set of work steps may result and the selection of the old or new will be left up to the Activity list software.

Actors:

Employee

Volunteer

Basic Flow

FIG. 14 shows a method a Character will invoke to provide feedback on an Activity. They will select the feedback button on any application (Items 1401-1403) and create a feedback message (Item #s 1404-1408). This message is then processed to determine the impact that it may have on activities, work steps or individuals (Item #s 1409-1414).

All Activity and work step information on which the feedback is based on should be collected to be passed on to the server.

If the feedback was spoken, use a Speech to Text tool to convert the spoken feedback to a statement.

The feedback statement is then processed to determine how the feedback will affect the work steps that were assigned to the actor.

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Errors—If the feedback or the work step changes do not get saved, the data is queued and then retried after the database becomes available.

Feedback Not Understandable—If the software could not decipher what the feedback was trying to indicate, a return message will be sent back to the Character to restate the feedback so that the system can properly act on it.

Post Conditions/Result

The Character will receive a thank-you acknowledgement for their comments. The system will maintain the work step changes and add them to the list of work steps available for an Action.

6. Update a Profile

All employees and volunteers will create a profile that defines the various Adjuncts that defines them. This will include:

Name

Address

Phone Number

Email Address

Permission to maintain a facial recognition model

List of Activity requirements (such as ServSafe Certification for working in the restaurant).

Actors:

Employee

Volunteer

Basic Flow

FIG. 15 shows how a Character will send an update to their profile. They would select an adjunct and update the reading for that adjunct (Item #s 1501-1506).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Errors—If the reading does not get saved, the data is queued and then retried after the database becomes available.

Post Conditions/Result

The Character's Adjuncts will be updated and then used when assessing Activities to assign to them.

Information Kiosk and Visitor Interactions

The following use cases are related to a Kiosk System that will provide information, entertainment, and people/machine engagement. People will interact with the system via a keyboard, touchscreen, and/or through spoken conversation. The system will reply back through the Kiosk's screen or verbally through the attached speakers.

1. Greet Visitor

When a person arrives at the Kiosk, the system needs to greet the person with varying phrases. Greetings should vary depending on:

If the person is recognized.

If they are an employee or visitor.

Whether or not they interacted with another Kiosk before this one.

The person's approximate age.

Time of day.

The general idea is to engage the actor in a conversation.

Actors:

Employee

Volunteer

Visitor

Basic Flow

FIG. 16 shows the flow of information as a conversation is being started and then engaged. The engagement starts by creating a facial model of the person and determining if the system knows who it is (Item #s 1601-1610). If the person is known to the system (Item #1607) a conversation is built passed on the past. If the conversation is new (Item #s 1608), an initial conversation is sent to the kiosk. The system will need to wait for a response from the person, analyze the response, and then reply, turn-taking technique. The conversation is then converted to an audio file and then spoken back to the user (Item #s 1609-1613) The conversation is ended by a lull in the conversation or if the person leaves (Item #s 1614-1619).

The system will know if the person was at a Kiosk before this one.

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Response Not Understandable—If the software could not decipher what the response meant. A return message will be sent back to the actor to restate the response so that the system can continue the conversation.

Post Conditions/Result

The actor will enter into a conversation with the Kiosk Software whereby any information relevant to the actor's activities will be made available.

2. Ask a General Question

During the conversation between the actor and Kiosk, the actor may ask a question that is general in nature. For instance, how does photosynthesis work?

The system will need to be able to reach out to public sources to get the information from multiple sources and put together a consensus answer for the actor.

Actors:

Employee

Volunteer

Visitor

Basic Flow

FIG. 17 , FIG. 37A and FIG. 37B shows the process that will be used to gather information to satisfy general questions. Multiple searches will be created to find information on local databases as well as from Internet sources. The process starts by converting the spoken word to text (Item #s 1701-1705 and 37A01-37A05) to be used for searching. The system will then use data mining techniques to search (Item #s 1706-1711 and 37A06) the various databases. The results are then converted to audio files to be spoken back to the requestor (Item #s 1712-1714 and 37A10-37A17).

Returning results will be immediately returned to the Conversation software so that they can be presented as if the Kiosk software is answering.

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Internet Connection—If the connection is down, send a message to the Conversation software that data is coming. The request will be queued and resent when the connection is back.

Database Error—The request will be queued until the database comes back online.

Actor Leaves—If the actor leaves the Kiosk, all requests are cancelled and the conversation is terminated.

Post Conditions/Result

The actor will receive the response, which might be a combination of information from several sources. Should data from the local database and a public source come to the Kiosk at the same time, the local data will be presented first.

3. Ask a Question on a Specific Object

During the conversation between the actor and Kiosk, the actor may ask a question with a hand gesture or that is directed at a specific object in the business. For instance, what is that?

The system will need to query the local database to get all relevant information about the object. Additionally, general queries are made to augment the information.

Actors:

Employee

Volunteer

Visitor

Basic Flow

FIG. 18 shows the process that will be used to gather information to satisfy a question about a specific object. The process starts by converting the spoken word to text (Item #s 1801-1807) to be used for searching. The system will then use data mining techniques to search (Item #s 1808-1813) the various databases. The results are then converted to audio files to be spoken back to the requestor (Item #s 1814-1816).

Returning results will be immediately returned to the Conversation software so that they can be presented as coming from the Kiosk software. Data from local sources should be displayed first when multiple-source information comes in together.

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Internet Connection—If the connection is down, send a message to the Conversation software that data is coming. The request will be queued and resent when the connection is back.

Database Error—The request will be queued until the database comes back online.

Actor Leaves—If the actor leaves the Kiosk, all requests are cancelled and the conversation is terminated.

Post Conditions/Result

The actor will receive the information, which is a combination of information from several sources.

4. Play a Game

This use case involves showing the list games that the enterprise is providing for the public. The actor will:

1. Select a game.

2. Be presented with the rules.

3. Receive any equipment necessary to play the game.

4. Start the game.

5. Ask the Kiosk to keep score.

6. Allow “trash” talking by the Kiosk.

Actors:

Employee

Volunteer

Visitor

Basic Flow

FIG. 19 shows how a person will select a game to play. Using a natural language processing, a request for a game (Item #s 1901-1906) is made and the information retrieved for the selected game. Information on the game is then displayed (Item #s 1907-1912). The person may then choose to use the kiosk for scoring and trash talking (Item #s 1916-1921).

Should a game be started and require equipment, an Action record to bring the visitor the required equipment will be added to the queue (Item #s 1913-1915) such that it can be immediately assigned to an employee.

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Equipment Unavailable—A message will be generated and sent to the actor that no equipment is available to please try later.

Network Failure—A message will be generated to please ask an employee for the required equipment.

Post Conditions/Result

The actor will receive the information on the selected game. If a game is started, the system will track the time, keep score and do some “trash” talking (if selected).

5. View Business Offerings

This use case revolves around the actor asking for information on a business serviced by the Kiosk. This will include advertisements, short descriptions, images, and videos. An example of this may be a menu from the restaurant.

Actors:

Employee

Volunteer

Visitor

Basic Flow

FIG. 20 shows when the actor will ask a question whose answer requires information about an associated business (Item #s 2001-2008). The information for the associated business will be pulled from the local database (Item #s 2009-2014) and sent to the Kiosk to be communicated (Item #s 2015-2017).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Internet Connection—If the connection is down, send a message to the Conversation software that data is coming. The request will be queued and resent when the connection is back.

Database Error—The request will be queued until the database comes back online.

Actor Leaves—If the actor leaves, all requests are cancelled and the conversation is terminated.

Post Conditions/Result

The actor will receive the information on the business that was requested.

6. Generate Demographic Information

For each person who enters the facility, a set of demographic information will be generated that includes the age and number of actors.

Actors:

Employee

Volunteer

Visitors

Basic Flow

FIG. 21 shows that the actor need only pass by a 3D camera when they first enter the facility. The camera's software will do a facial recognition model (Item #s 2101-2104) on the actor and determine the age range. This information will be pushed to the server and saved with the facial model for further analysis (Item #s 2105-2112).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Error—The request will be queued until the database comes back online.

Post Conditions/Result

The running count and types of individuals in the park will be available for the digital sound system and any other reporting that might be necessary.

7. Inventory Management

One of the ongoing Activities of this system is to manage all of the inventory items of all of the associated business operations. Some of the most important functions of Inventory Management:

Location of all items.

Quantity of all items.

Keeping track of expiring items and minimizing loss through spoilage.

Collection of data on new items.

Allocation of items to support business activities.

Receive Inventory

As inventory arrives, an employee will need to check it into the system so that it can be allocated for Actions and to support various associated businesses.

Actors:

Employee

Basic Flow

FIG. 22 shows that the Character will select a business for which the inventory item will be assigned (Item #s 2201-2207). The UPC might then be used to define the product and input the quantity, weight, and other relevant information (Item #s 2208-2220). If the item does not have a UPC, a barcode with an item-unique ID tag can be printed and affixed. The inventory data is added to the to the database and the activity analysis is then triggered (Item #s 2221-2224).

The data is then saved in the database and made available to the Activity assignment process.

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Error—The request will be queued until the database comes back online.

Network Connection Failure—If the network connection is down, the receiving data will be queued on the actor's machine and then uploaded when the network is restored.

Post Conditions/Result

The actor will receive a list of all of the items they processed in order to reconcile against the packing slip.

8. Expiring Inventory

This use case is one in which a server process will be constantly looking through the list of unused inventory items to find items that are about to expire and then create Actions that will use them.

Actors:

Server Process

Basic Flow

FIG. 23 shows a loop through the list of current inventory items looking for items expiring in the next two days (Item #s 2301-2303). Those items are then used to determine if there are any optional Actions in which the expiring item will be consumed. These activities are then added to the Activity queue for assignment (Item #s 2304-2308).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Error—The request will be queued until the database comes back online.

Post Conditions/Result

A set of Activities that were added to the queue for assignment

Sound System Management

The following use case is related to creation of the digital sound file that is used to change the music that is being played throughout the park.

1. Create Sound File

The file contains data from the following areas:

Outside weather conditions.

Demographic data for the people in the park.

Sensor data for the internal environment.

Adjunct readings for certain Proper Nouns in the park, such as reservoirs and thermostats.

Sales receipts.

Actors:

Server Process

Basic Flow

FIG. 24 shows that the program will run every 10 minutes and present the digital sound system with an XML file that contains all of the latest information for the park. The program gathers the weather data (Item #2402), park demographics (Item #2403), adjunct readings (Item #2405), and sales information (Item #2406). The data is then assembled into an XML file for input to the sound system (Item #2407).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Error—The process is halted and will try again in 10 minutes.

Internet Connection—If the connection is down, the file will use the last information that was received.

Post Conditions/Result

The process results in an XML file that will be used as an input to the digital sound system.

Corporate Event Management

The following use cases are related to management of corporate and other events that will be scheduled for the park.

1. Booking an Event

This use case revolves around the inputting of the necessary information to reserve the park and all of the necessary accoutrements.

Actors:

Employee

Corporate Planner

Basic Flow

FIG. 25 shows that the actor will input the necessary data in order to book the event (Item #s 2501-2505). The data will be validated to assure that the date and the necessary supplies are available or can be purchased (Item #s 2506-2512).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Error—If the failure happens after the event date is saved, the data will be queued until the database comes back on line. If the failure happens before, the actors will receive a message that no bookings can be received at this time.

Post Conditions/Result

The actor will receive a message to the screen that the booking has been accepted. Additionally, the actor will be able to create a PDF of the itinerary and all of the supplies necessary.

2. Event Sign-In

When an event has begun, attendees of the event will be asked to sign-in on Kiosk System. The information on the attendee will be then be sent to all Kiosks such that they may carry on conversations.

Actors:

Attendee

Basic Flow

FIG. 26 shows that the attendee will go to any Kiosk and either select their name from the list provided by the host or add their name, then enter other pertinent information (Item #s 2601-2605). This information is then matched with the person's facial model so that they can be recognized at any other Kiosk (Item #s 2606-2610).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Network Connection Failure—If the network connection is down, the receiving data will be queued on the Kiosk and then uploaded when the network is restored.

Post Conditions/Result

The actor will receive a greeting and the itinerary for the day.

General Management

There are several functions that will be used across applications and businesses. These functions revolve around safety and feedback.

Should something happen that creates a safety situation, anyone should be able to report the incident. The server will need to interpret the incident description, decide what activity needs to be created and then assign the activity to the closest qualified employee to remedy.

Feedback is similar in that the system needs to interpret the text, determine the activities that may be impacted by the feedback, create an alternate work step process to match the feedback and assign a use priority.

1. Incident Reporting

This use case involves the process for reporting an incident and the actions that will take place afterward.

Actors:

Employee

Volunteer

Visitor

Server Process

Basic Flow

FIG. 27 shows that applications within the park will be equipped to display an INCIDENT button whereby anyone can report an incident by typing in or speaking a description of the incident (Item #s 2701-2705). The server will then need to determine what activities should be generated to deal with the incident (Item #s 2706-2714).

Alternative Flow

FIG. 28 shows that in automated systems that include sensors and other environmental information will also be contribute to the incidents should any of them detect a measurement outside the norms (Item #s 2801-2803). The server will then need to determine what activities should be generated to deal with the incident (Item #s 2804-2810).

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Error—The incident will be queued until the database comes back online. The activities will be generated and added to the queue.

Network Connection Failure—If the network connection is down, the actor will receive a message on the screen to seek out an employee.

Post Conditions/Result

The actor will receive a crafted thank you from the application.

2. Provide Feedback

One of the keys to adjusting the system is to use the feedback from anyone in the park. The system will need to determine what the feedback is relevant to and then add an activity to assess the feedback or to just update some activities.

Actors:

Employee

Volunteer

Visitor

Basic Flow

FIG. 29 (Use Case Diagram) and FIG. 38 (Activity Diagram) represent the application within the park that will be equipped to display a FEEDBACK button whereby anyone can provide feedback by typing in or speaking the comment (Item #s 2901-2905 and 3801-3808). The server will then need to analyze the feedback and create activities to address the feedback (Item #s 2906-2914 and 3809-3815).

Alternative Flow

No alternative flow is required.

Exception Flow

There are a number of situations to consider in the exception flows. The following list is not exhaustive but should reflect the major exceptions:

Fatal Programming Errors—Generate a message to the log and alert the support staff via email and/or text.

Database Error—The feedback will be queued until the database comes back online. The activities will be generated and added to the queue.

Network Connection Failure—If the network connection is down, the feedback will be saved and sent to the server when the network is restored.

Post Conditions/Result

The actor will receive a crafted thank you from the application.

FIGS. 30-37 include activity diagrams for a kiosk conversation, similar to the use cases, but showing how different use cases might affect one another, and with integrated diagrams and/or detailed descriptions thereof.

FIG. 30 depicts the activity that occurs when a person walks into the park and approaches the kiosk (Item #s 3001-3003). Server functions are then invoked to determine if the person is known to the system (Item #s 3004-3007). The kiosk will then need to determine the conversation that will occur (Item #s 3008-3017) and display it.

FIG. 31 represents the activity that occurs when an employee is recognized via facial recognition (Item #s 3101-3102). The server will then put together a conversation (Item #s 3103-3105) to be spoken back through the kiosk (Item #s 3106-3111).

FIG. 32 represents the activity that occurs when a volunteer is recognized via facial recognition (Item #s 3201-3202). The server will then put together a conversation (Item #s 3203-3207) to be spoken back through the kiosk (Item #s 3108-3212).

FIG. 33A and FIG. 33B represents the activity that occurs when a visitor approaches the kiosk (Item #33A01). The kiosk will assemble current information to be used for conversations (Item #s 33A02-33A03). The kiosk will then start by asking simple questions (Item #s 33A06-33A07). The response would then be converted to text and analyzed, a new statement and question created (Item #s 33A09-33A23). The server will process all requests from the visitor (Items #s 33B01-33B14).

FIG. 34A and FIG. 34B represents the activity that occurs when an employee approaches the kiosk (Item #s 34A01-34A09) and is directed to use a Staff Activity Tablet. The tablet application will then be used direct the employee on the activities scheduled for them (Item #s 34B01-34B16).

FIG. 35A and FIG. 35B represents the activity that occurs when an employee begins an activity on the tablet (Item #s 35A01-35A02). The tablet will have the functionality to select an activity (Item #35A04), display a supply list (Item #35A06), and send feedback (Item #35A12). FIG. 35B represents the activities that occur when an employee or volunteer is executing an activity.

FIG. 36A represents the activity that occurs when a person decides to be a volunteer. The volunteer's information is inputted (Item #s 36A01-36A08) and sent to the server (Item #s 36A09-36A13). FIG. 36B represents the saving of volunteer information to the data base.

The present invention when employed with a third-party AI analytical system form an integrated suite of software that will allow any business to have access to data mining and other AI tools. (The below discussion contemplates Ophanim's interacting with IBM's Watson™ for illustrative purposes and is depicted in FIG. 39 . Ophanim could also interact with a different AI analytical service, such as that offered by Google or Amazon Web Services, in much the same way.)

The key services provided by this software include:

Visibility as to how well each of the business' operations is functioning on its own and in terms of the enterprise as a whole.

Business advisement utilizing Watson's™ cognitive reasoning.

Inventory management.

Activity management.

Data collection and analysis using sensors and other input devices.

In addition to the managerial-related service, the software supports systems that assist in running the enterprise, such as:

Staff Assistant—this is a tablet/smart phone application that functions as an interactive checklist of Actions that the employee or volunteer is expected to perform during a given shift. Additionally, the application provides advice from the knowledgebase and the Internet. A supplementary natural language interface provides a user-friendly means of communication.

Information Kiosk—this is an avatar-based application that is programmed as a game and that uses a natural language interface to provide an easy way for customers, employees, and other affiliates to gain information on the business and more.

Managing the Business

Startups, as well as small and medium size businesses, often cannot benefit from AI systems due to the lack of enough data for effective data mining and decision analysis. Ophanim provides AI-powered management tools that will enable any size business to confront its day-to-day challenges with expert guidance. To accomplish this, data from multiple businesses is scrubbed (identities removed) and combined to form a large volume of data. The data is then available for mining to allow a third-party AI analytical service such as IBM's Watson™ to use its Cognitive Reasoning to guide each such business.

Below is an outline of the various functional parts of the web-based software as a service (SaaS). They include:

Business Assessment.

Business Variables Management.

Knowledgebase Management.

Basic Human Resource Management.

Action/Activity Management.

Inventory Management.

Kiosk Management.

Business Assessment

The Business Assessment area of the software suite will allow users to receive feedback about their enterprises. The system uses data collected (then scrubbed) from participating businesses, as well as information provided by the user, as input to Watson's™ Cognitive Reasoning APIs. The system will perform assessments regularly, so users can receive advice on demand.

At the heart of the system is a set of applications that will monitor Actions being performed, sales, and feedback from customers and staff. This data is combined with environmental information and data from other participating businesses to help answer questions like:

Are products properly priced?

Is staffing sufficient or excessive?

Are there changes in competitor offerings?

Are the locations appropriate and safe for staffing and sales?

To accomplish this, data can be constantly garnered from participating businesses and from publicly-available sources such as websites and news programs. Several processes are used to glean useful information from these sources.

Operations Advisement

Throughout the day, the business environment is in a constant state of change. New competitors might enter the market, and price changes by competitors can affect profitability. Critical Actions may not be completed in the allocated time, thereby raising the business's costs or causing it to miss service commitments. Staying on top of all areas is a difficult task.

Ophanim's Advisement System plays an integral role in keeping track of all of the business's operations by making assessments such as these:

Comparing products and services with those of competitors in terms of functionality and price.

Determining if any location of the business is in an area that has disruptive activity planned, such as new construction, roadwork, parades, or protests.

Monitoring school calendars if the business can be affected by whether or not school is in session.

Determining what calendar reminders to send for events that can affect the business, such as tax filing deadlines, important industry meetings, holidays, and forecasted severe weather.

This process will run throughout the day to be ready on demand.

Financial Advisement

One of the major tasks of the Advisement System is to provide a separate set of “eyes” on the books. Many small businesses do not have the wherewithal, especially in the beginning, to hire an accountant to advise them.

The Advisement System will be looking to answer questions such as these:

Are margins appropriate for the industry and enough to support the business?

Is the cash flow sufficient or should short-time financing be pursued?

Is product pricing correct or should it be raised or lowered?

Product and Service Advisement

The Advisement System will provide the business with information relating to its various products and services, such as these:

What is the current margin and how does that compare to the business's historical margins and to industry standards?

How do customers rate the product or service and what modifications have they recommended?

How does the product or service compare to those offered by competitors in terms of price and features?

Are there process-related or other changes that can be made to improve the product or service and/or its margin?

Business Variable Management

There are thousands of variables that are used in managing the business. While some of these variables can be derived from outside sources, most will need to be inputted by the user. To the extent possible, the software will use natural language interfaces and gamified

UIs to make the data input process both more enjoyable and more understandable to the user than is the case with traditional software. If for no other reason than to minimize errors, it is important that the user knows why the information is being requested.

As data is entered, it will be validated for correctness and reasonability. To determine if data is reasonable, it will be compared with corresponding data already in the data silo. This will not stop the data from being entered but will alert the user that the data being entered is out of the norm.

Data will be collected in the following areas: employee information; product and services specifications; facility information; client information; supplier information; inventory information (assuming that the business already has commenced operations); and process flows.

Business Goals

In order to assess the enterprise properly, its goals need to be fully understood. A participating business may want to maximize profits while still providing some social good to the community. In this section of the System, the user will be asked a series of questions to help determine the business's goals.

(Tracking the financial variables of the business is made easier by allowing data to be exchanged with widely-used accounting software and banks' websites.)

Product/Service Definitions

To develop assessments on processes or competition for the business's products and services, the specifications for each product and service needs to be entered into the System. Should the information already exist on a company website, the pages will be scraped to provide the base information. The business will then need to edit the data to give the AI model the best chance at producing helpful assessments.

Some of the basic information on will include: the name of the product or service; identifiers (including those used in the industry, by government, and by the business); specifications along industry standards (such as height, weight, dimensions, and colors); manufacturing process description including required labor and materials; and service requirements including required labor and materials.

Knowledgebase Management

The knowledgebase will be made available to all businesses that participate in data sharing. Its use will be to augment the business's own data to aid Watson™ in developing helpful assessments.

The knowledgebase data will be drawn from participating businesses, Internet sites, and other publicly-available sources, and, possibly, certain commercial sources. The data will be scrubbed of any company identifying information and then placed in a database structured for speedy data mining.

Basic Human Resource Management

To schedule Actions and support business activities for employees and volunteers, Ophanim needs to have the basic human resource information available. The data contains information to be used for the following: governmental reporting and compliance; Activity assignment; employee management (related to hiring, compensation, promotions, vacations, etc.); and employee/volunteer Information;

The data collected for an individual can include: name; address; tax ID—this value is redacted and encrypted on the system; skills ratings for any Action that the individual may receive (including any licenses and certifications); training programs to improve skills; preferred shifts; and constraints on what Actions or shifts to which the individual should be assigned.

Documentation

Ophanim's Human Resource System allows the user to input and retrieve documents that were submitted with respect to an employee. Such documents might include: employment application; volunteer application; W-9; work visas; ID verification; and transcripts, certificates, licenses and other evidence of specific training or skills.

Scheduling

There is an art to developing a schedule whereby employees are happy, all relevant labor regulations and laws are followed, and all of the necessary Actions are assigned. Developing such a schedule that also promotes efficiency and productivity for the business is even more challenging.

Many methodologies and optimization models have been tested in order to learn how to develop schedules that work. These schedules can be generated at any interval and are based around considerations such as these: the Actions that are currently in the queue for the day; the relative priority of each such Action; employee availability (including recent shift history); how productive each employee has been at certain Actions at different times of the day; upcoming business events; weather forecasts; and school calendars.

All of this data is used to produce the most optimized schedule. Individuals are notified of their schedule on a frequency selected by the business owner. A text is sent daily to each scheduled individual that highlights the Actions to which they will be assigned for the day.

Action/Activity Management

The main purpose of this System is to reduce the number of managers needed for a business by allowing Ophanim to manage the day-to-day Actions and to improve how they are being performed. This might be accomplished via a smart phone or tablet application that all staff members will be issued. More information on this application can be found in the Staff Assistant section below.

The System is comparing the immediate and longer term needs of the enterprise with the ability of staff (including their skill levels), inventory, and time. Messages are sent to employees to have various Actions addressed throughout the day, or immediately if the Action warrants it.

There are several components that are all running independently of each other but will collectively feed the Action pipeline to the staff. The components are:

The Activity Scheduler—matches staff members with Activities that are required for the day.

Training—based on the business's needs and on staff member's requests to enhance skills or grow in the organization, training Actions will be added to the schedule.

Feedback Loop—this accepts feedback from staff and customers, then develops a list of the relevant processes, service or products, and/or staff members for review.

Staff Productivity—this measurement is around the need for rework of an Action, feedback (positive and negative) from staff and customers, and input from the part of the System that is assessing unintended consequences.

Activity Scheduler

The Activity Scheduler engine is a process that takes in information from the following:

Product/Service Commitments—these are product deliveries and service level agreements that need to be addressed today.

Maintenance Actions—these are Actions that need to be done to maintain equipment and the facility.

Immediate Actions—these Actions are introduced due to an event occurring. An example would be to create an Action to clean up broken glass.

Staff Availability—this includes staff currently assigned to work and a list of staff members who could be called in to help should it be required.

Training Requirements—to allow staff members to grow, Actions will be added that will give them an opportunity to learn or improve a business skill.

The System takes in the data from above and creates the most optimal assignment of Activities for a given day. The Activities are then sent to the Staff Assistant application to be acted upon.

Training

To make staff members as productive and as happy as possible, the System includes training time and material in the daily Activities that the staff receives. This is done by the following means:

Each Action that is created has the ability to add training material to the definition.

The business user can define training material and can mark this as a course that is required for specific Actions or advancement.

The training material can take the form of PDF files, videos, and/or images. Additionally, there may be an oral or online exam to get credit for the training.

Staff Productivity

Measurement of a staff member's productivity is often a one-dimensional measurement, as it looks only at how much the staff member accomplishes. The System will take into account factors that might be detrimentally affecting the employee's ability to complete the Actions in the time allotted.

Each Action will be looked at over time to consider:

Who is the person doing the Action?

How much time did they spend?

Did the Action need to be repeated?

Were more materials required to complete the Action?

Did the order in which Actions were performed affect the time and/or amount of materials required?

With this information, Watson's™ Cognitive Reasoning will be employed to determine if changes should be made.

Feedback Loop

In order for the System to improve over time, feedback needs to be received from staff and customers that will highlight things that might be changed to improve the business. The capture of the feedback will be done via the Staff Assistant and the Information Kiosk.

The System will take in the natural language text and run it through Watson's™ API to determine:

What product, service, staff member, or other business element is the subject?

Is it a complaint or endorsement?

What Actions are affected?

Does the feedback include a solution?

Has the feedback been received before?

A message is then prepared for the business to review. Changes to Actions, products or services, and/or processes referenced in the feedback can be accepted or rejected with a single click. Any changes will be tracked for unintended consequences.

Inventory Management

Inventory management is the practice of overseeing and controlling the ordering, storage, and use of components that a company uses to produce the goods and services it sells. Inventory management is also the practice of overseeing and controlling the quantities of finished products for sale.

Advantageously, the tools necessary for the business to manage its inventory are provided in a way that integrates this activity with the others managed by the System.

Tracking Inventory Use

Tracking of inventory starts with the acceptance of deliveries. Each Action has a list of inventory items required. As the Action is started, the inventory quantities are adjusted.

The system does not assume that the inventory quantities are correct from automated Action adjustments, however, since quantities also change due to factors such as waste and misplacement. When scheduled manual inventories are taken, the quantities will be adjusted and algorithms will be built to account for the difference between the calculated quantity of each item and the quantity actually on hand.

Expiring Goods Analysis

Expiring goods are dairy products and other inventory items with “use by” dates. The use of these goods should be planned to minimize their waste.

The System forecasts the rate at which expiring goods will be used by considering sales and use data on the goods with help from Watson's™ Cognitive Reasoning. The expiration dates are checked well in advance so that there is time to readjust Actions and schedules so that waste caused by expiration is minimized.

Information from this process is then passed to the ordering and activity management processes.

Ordering

The Activity of ordering from suppliers can be both time-consuming and prone to errors. The enterprise needs to create a proper order, then make sure that the supplier has filled the order correctly, and, finally, make sure that the supplier has billed only for what was delivered and accepted

Leveraging Watson's™ Cognitive Reasoning, an ordering system uses the following information to make its recommendations for ordering: products that have been consumed through the various business operations; sales volumes and forecasts; waste and lost percentages based on input from inventories taken; and analysis of expiring goods.

Orders are then created for each supplier and are made available for review. The user can then: review the order by supplier, adjust item quantities, and remove or add items.

Once the order is ready, the user may send the order via email or text. Additionally, the user may print the order should it need to be mailed. Many suppliers, especially those in the food service industry, have been very slow to embrace technology. The system overcomes that limitation by allowing a supplier that is an External Agent to log into a website and perform actions such as confirming delivery appointments and creating invoices with respect to the business.

Deliveries

Upon receipt of a delivery, the business reconciles it against the order or orders from which it resulted. Communication with the supplier can occur directly if it is also a participating business or via the website discussed above if it an External Agent. The delivery reconciliation process includes confirming proper receipt, noting that the quantity delivered is different from the quantity ordered, rejecting individual items due to quality-related or other reasons, and/or rejecting the entire delivery. The system includes a tablet application for delivery reconciliation that will connect to the Ophanim Database.

Invoicing

Upon receipt of an invoice, the business reconciles it against the delivery or deliveries to which it applies. Communication with the supplier can occur directly if it is also a participating business or via the website discussed above if it is an External Agent. The invoice reconciliation process includes confirming that the quantity of each item for which the business is being billed matches the quantity actually delivered and accepted, and that the supplier used the correct prices and delivery charges. The system includes a tablet application for invoice reconciliation that will connect to the Ophanim Database.

Payments

Payment processing is done via downloads and uploads to various accounting systems so that payments can be made to the suppliers. The System will keep track of payments that have been made, and the supplier will then be notified via email or text that a payment is been made.

Kiosk Management

One of the advantageous functions of the System is to engage customers, employees, and volunteers in the business's activities. The Information Kiosk offers an enjoyable way for individuals to do this through oral and text-based communication. The software is designed not only to answer somebody's questions, but to engage in a conversation that may include tangential topics like family, weather, retirement, and many more depending on where the conversation leads. Additionally, the Kiosk can be setup to remember the person (if they opt in for saved facial recognition is selected) so that the conversation can be continued on a subsequent visit.

For the business, the Kiosk software can do more than just greet people as they enter the door and talk to them. For example, the System can facilitate the ordering of products or services offered by the business directly or on a commission basis.

View Current Kiosks

One of the main pages of the Kiosk Management System contains details of all of the Kiosks supported by the software. The row on a specific Kiosk can include its:

Name.

Mac address.

Location.

Popularity in terms of the number of queries it has received.

Popularity in terms of the number of unique interactions and returning users.

Most recent update's date and time

Buttons to send an update.

Kiosk Packages

Kiosk packages are a set of files that are used by the Kiosk software to provide it with:

Location information including longitude and latitude.

Avatars to be used.

Icons and images to be used.

Text describing the business and its products and services.

List of accounts to be used when making reservations or to order goods. This will include logos and the list of fields required.

The data is packaged and queued for download when the Kiosk is ready for update. The packages may be used to support multiple Kiosks.

Deployment

Before a Kiosk is deployed, the Mac address and other information must be added to the Kiosk Management System and a package assigned. The initial loading of the software should be done prior to the Kiosk's leaving the business facility.

The hardware can include, for example:

32″ touch-screen monitor

Windows 10 or Linux computer.

Speakers.

Directional microphone.

Intel Real-Sense camera.

Staff Assistant

The gamified application runs on a tablet or smart phone can be issued to all staff members and have the following capabilities:

View the Activity list for the day and allow the user to check off completed Actions.

Enter data from sensors, meters, and other measurement devices.

Enter observations (including photographs).

Look Back feature that will allow the user to view needed information (such as previously recorded measurements).

Talk Back feature that will tell the user, in natural language, what Actions are to be operated on and provide a tool for looking up data without looking at the screen.

Delivery reconciliation (if the employee is authorized).

Inventory taking (if the employee is authorized).

Interacting with training materials.

Activity Management

This application acts as a gamified manager that will challenge the user to complete their assigned Actions as well as try to coax the user into taking on Actions to which they have not yet been assigned. The gamification will take the form of:

Credits earned for completing the work assigned.

Additional credits for completing an Action in less time than was allocated.

Additional credits for completing an Action using less materials than was allocated.

Additional credits for improving the process to complete an Action.

Additional credits for assisting other employees without being instructed to do so.

Lost credits if an Action needed to be redone

The business will decide how credits can be redeemed. Possibilities include additional vacation, mention in employee reviews, and enhanced training opportunities.

As a staff member completes an Action, they may simply check it off from the Action list. To complete an Action, the following must be done:

All work steps must be finished.

All required information (including any readings or images) must be recorded.

The System has a pause button on it to stop the keeping of time while working on an Action. This is done to collect accurate measurements of the amount of time an Action takes.

Data Collection

During certain Actions, the user can be asked to collect information and report it back to the System. The data collection may be in the form of:

Readings from measurement devices.

Images or video taken from the built-in camera.

Sounds collected through the built-in microphone.

Once the data is entered, it is transmitted to the Action Management server process where the data is stored and then used to determine if new Actions need to be created.

Look Back

Should the user need to view previously recorded information for an Action, this feature will allow the viewing of the data. The amount of data will start at a month previous but the user may expand the time frame.

Talk Back

To make the application fun, a Talk Back feature has been added. This feature will allow the user to ask questions about the work to be done or to just to get some information. The System will answer back in natural language.

Additionally, through the day, the system can chide the user in order to provide some levity and a fun conversation.

Deliveries

If the user is authorized to accept deliveries, they can follow the procedure below to accept or reject a specific delivery:

1. Select the supplier by name.

2. Review the list of open orders.

3. Select the items contained in the delivery.

4. Adjust quantities or reject an item. If the item is rejected, a reason must be selected.

5. Once complete, the Accept button is pushed and the data is transmitted to the server.

6. A Reject button is provided in case the entire delivery is rejected.

Take Inventory

If the user is authorized to take inventory, the Take Inventory application can be available for the user to collect the list of what is actually on hand.

The process for each item can be:

1. Use the bar code reader on the input tablet or phone, or take an image of the item and use image recognition, to determine what the item is.

2. Select the item if there is more than one possibility.

3. Adjust the quantity.

4. Save the value to the server.

Training Material

One of the important functions of this application is the ability to provide training material at any time the user requests it (including when the user has been assigned an Action that requires them to undertake a training session). The user can read a PDF, watch a video, or review images with text.

Once the lesson is complete, if configured, the user may be asked to complete an exam or to get a more senior staff member to conduct a practical exam. Should the user receive a passing grade, their staff member data can be updated to include the skill represented by the training.

Information Kiosk

The Information Kiosk is designed to interact with customers to answer any questions they might have, to develop marketing data via small talk conversation, and to provide a revenue source through the ability to make a reservation or to order products from another company. The software is developed as a video game to provide an element of fun.

The Kiosk is managed via the business management pages. A package of data for this Kiosk is constructed to contain all of the information necessary to run the Kiosk. In the event that the Internet connection is not available, most of the functionality can be disabled but the conversation functionality of the greeting avatar will remain on.

Greeter

FIG. 40 shows a Greeter that is an avatar that can greet people as they approach the Kiosk. For example, the Greeter can say “hello” or some other greeting and then wait for a reply from the person standing in front of the Kiosk. If the person has opted in to allow the Kiosk to maintain their facial model and the person is recognized, the Greeter can address them by name and continue the conversation from the last meeting.

Any question that the person in front of the Kiosk asks by typing or by speaking and having Watson™ interpret the language, can be analyzed to determine if the data is in a local data silo or if the question must be sent out to the Internet. In either case, the results are sent back to the screen and spoken back to the person. Should the results not answer the question, refining questions can be asked and used to train the natural language classifier.

Weather

FIG. 41 shows Kiosks that can support the weather and a five-day forecast at each Kiosk's location. For those Kiosks that are in locations that can provide the indoor temperature, humidity, and air pressure, the data can be sent to the Ophanim Database and then shown on the weather screen.

Business Philosophy

Downloaded daily is the business philosophy and history of the business. Questions relative to the forming of the business or about the philosophy can be directed to this scene. The information can be in the form of text that can be shown and read to the customer or a video that is shown.

Facility Information

FIG. 42 shows facility Information that includes details on the creation of the space, history on the building, and list of surrounding landmarks and historical sites. The data can be in the form of text with images (the text can be read by a selected avatar) or a video.

Products and Services

FIG. 43 shows that for each business, the products and services that are to be highlighted in the Kiosk are described in the package that is brought down to the device every day. A product or service can have the following information:

Name.

Description.

Avatar to be used to display it.

Ordering fields if the product or service can be purchased or reserved from the Kiosk.

Additional multi-media that may include images or video.

Local knowledgebase changes to point Kiosk users to this page for questions around the product or service.

Create Order/Reservation

As an added feature of the Kiosk, the business may have agreements with third parties to market or sell another company's products. For instance, a hotel may have an account with Open Table that can allow guests to reserve a table at local restaurants. In such a case, the business would receive a commission for each reservation that is filled.

The outside product or service can have the following information:

Name.

Description.

Avatar to be used to display it.

Ordering fields if the product or service can be purchased or reserved from the Kiosk.

Additional multi-media that may include images or video.

Local knowledgebase changes to point Kiosk users to this page for questions around the product or service Knowledgebase changes would be made in the conversation base as these items would come about as a result of a conversation.

The above-described devices and subsystems of the illustrative embodiments can include, for example, any suitable servers, workstations, PCs, laptop computers, PDAs, Internet appliances, handheld devices, cellular telephones, wireless devices, other devices, and the like, capable of performing the processes of the illustrative embodiments. The devices and subsystems of the illustrative embodiments can communicate with each other using any suitable protocol and can be implemented using one or more programmed computer systems or devices.

One or more interface mechanisms can be used with the illustrative embodiments, including, for example, Internet access, telecommunications in any suitable form (e.g., voice, modem, and the like), wireless communications media, and the like. For example, employed communications networks or links can include one or more wireless communications networks, cellular communications networks, G3 communications networks, Public Switched Telephone Network (PSTNs), Packet Data Networks (PDNs), the Internet, intranets, a combination thereof, and the like.

It is to be understood that the devices and subsystems of the illustrative embodiments are for illustrative purposes, as many variations of the specific hardware used to implement the illustrative embodiments are possible, as will be appreciated by those skilled in the relevant art(s). For example, the functionality of one or more of the devices and subsystems of the illustrative embodiments can be implemented via one or more programmed computer systems or devices.

To implement such variations as well as other variations, a single computer system can be programmed to perform the special purpose functions of one or more of the devices and subsystems of the illustrative embodiments. On the other hand, two or more programmed computer systems or devices can be substituted for any one of the devices and subsystems of the illustrative embodiments. Accordingly, principles and advantages of distributed processing, such as redundancy, replication, and the like, also can be implemented, as desired, to increase the robustness and performance of the devices and subsystems of the illustrative embodiments.

The devices and subsystems of the illustrative embodiments can store information relating to various processes described herein. This information can be stored in one or more memories, such as a hard disk, optical disk, magneto-optical disk, RAM, and the like, of the devices and subsystems of the illustrative embodiments. One or more databases of the devices and subsystems of the illustrative embodiments can store the information used to implement the illustrative embodiments of the present inventions. The databases can be organized using data structures (e.g., records, tables, arrays, fields, graphs, trees, lists, and the like) included in one or more memories or storage devices listed herein. The processes described with respect to the illustrative embodiments can include appropriate data structures for storing data collected and/or generated by the processes of the devices and subsystems of the illustrative embodiments in one or more databases thereof.

All or a portion of the devices and subsystems of the illustrative embodiments can be conveniently implemented using one or more general purpose computer systems, microprocessors, digital signal processors, micro-controllers, and the like, programmed according to the teachings of the illustrative embodiments of the present inventions, as will be appreciated by those skilled in the computer and software arts. Appropriate software can be readily prepared by programmers of ordinary skill based on the teachings of the illustrative embodiments, as will be appreciated by those skilled in the software art. Further, the devices and subsystems of the illustrative embodiments can be implemented on the World Wide Web.

In addition, the devices and subsystems of the illustrative embodiments can be implemented by the preparation of application-specific integrated circuits or by interconnecting an appropriate network of conventional component circuits, as will be appreciated by those skilled in the electrical art(s). Thus, the illustrative embodiments are not limited to any specific combination of hardware circuitry and/or software.

Stored on any one or on a combination of computer readable media, the illustrative embodiments of the present inventions can include software for controlling the devices and subsystems of the illustrative embodiments, for driving the devices and subsystems of the illustrative embodiments, for enabling the devices and subsystems of the illustrative embodiments to interact with a human user, and the like. Such software can include, but is not limited to, device drivers, firmware, operating systems, development tools, applications software, and the like. Such computer readable media further can include the computer program product of an embodiment of the present inventions for performing all or a portion (if processing is distributed) of the processing performed in implementing the inventions. Computer code devices of the illustrative embodiments of the present inventions can include any suitable interpretable or executable code mechanism, including but not limited to scripts, interpretable programs, dynamic link libraries (DLLs), Java classes and applets, complete executable programs, Common Object Request Broker Architecture (CORBA) objects, and the like. Moreover, parts of the processing of the illustrative embodiments of the present inventions can be distributed for better performance, reliability, cost, and the like.

As stated above, the devices and subsystems of the illustrative embodiments can include computer readable medium or memories for holding instructions programmed according to the teachings of the present inventions and for holding data structures, tables, records, and/or other data described herein. Computer readable medium can include any suitable medium that participates in providing instructions to a processor for execution. Such a medium can take many forms, including but not limited to, non-volatile media, volatile media, transmission media, and the like. Non-volatile media can include, for example, optical or magnetic disks, magneto-optical disks, and the like. Volatile media can include dynamic memories, and the like. Transmission media can include coaxial cables, copper wire, fiber optics, and the like. Transmission media also can take the form of acoustic, optical, electromagnetic waves, and the like, such as those generated during radio frequency (RF) communications, infrared (IR) data communications, and the like. Common forms of computer-readable media can include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, any other suitable magnetic medium, a CD-ROM, CDRW, DVD, any other suitable optical medium, punch cards, paper tape, optical mark sheets, any other suitable physical medium with patterns of holes or other optically recognizable indicia, a RAM, a PROM, an EPROM, a FLASH-EPROM, any other suitable memory chip or cartridge, a carrier wave or any other suitable medium from which a computer can read.

While the present inventions have been described in connection with a number of illustrative embodiments, and implementations, the present inventions are not so limited, but rather cover various modifications, and equivalent arrangements, which fall within the purview of the appended claims. 

What is claimed is:
 1. A system for integrated management of animate and inanimate objects of an enterprise including a hydroponic facility, the system comprising: a cloud-based server having a database and a website, and configured for running computer programs thereon, the database storing an employee facial model of each employee of employees of the hydroponic facility; a user device including a smartphone, tablet, and/or personal computer running an application or software including a user interface and configured to connect to the database and function as a data entry and display device; automated devices including a sensor attached to a reservoir of the hydroponic facility and at least one of an electronic switch, a pump, and a hydroponic dosing device attached to the reservoir of the hydroponic facility, the automated devices being configured to collect and transmit data or to react to received commands; and a Kiosk coupled to the cloud-based server and configured to build a facial model of a person that interacts with the Kiosk and send the facial model of the person to the server, wherein the server is configured to: monitor statuses of the animate and inanimate objects of the hydroponic facility, as well as external conditions and actors that affect the hydroponic facility, receive a measurement value from the sensor attached to the reservoir of the hydroponic facility, automatically actuate the at least one of the electronic switch, the pump, and the hydroponic dosing device attached to the reservoir of the hydroponic facility based upon the measurement value received from the sensor attached to the reservoir of the hydroponic facility, task an employee and at least one of the automated devices of the hydroponic facility based on analysis of the statuses including generating an activity list for the employee and an activity list for the at least one of the automated devices, automatically update the activity list for the employee and the activity list for the at least one of the automated devices based upon a change in the statuses, and manage the hydroponic facility including the employee and the at least one of the automated devices using a structure of story, wherein the server is configured to determine whether or not the person is one of the employees based upon the facial model and the employee facial models, wherein the system is configured to: perform a first process when the person is one of the employees including guiding the person to the activity list, and perform a second process that is different from the first process when the person is not any of the employees, and wherein the user device is configured to present the activity list to the person via the user interface when the person is the one of the employees.
 2. The system of claim 1, wherein the server is configured to employ cognitive reasoning to provide the hydroponic facility with advice on managing the business operations.
 3. The system of claim 1, further comprising: a plurality of the enterprise acting communally by sharing data that is aggregated for data mining and/or decision analysis.
 4. The system of claim 1, further comprising: a supplier device configured to log into the website and exchange information with the hydroponic facility, including order, delivery, and/or invoice information, thereby creating an online order management process for suppliers.
 5. The system of claim 1, wherein the Kiosk is configured to communicate with the employees of the hydroponic facility, a customer of the hydroponic facility, and/or people that interact with the hydroponic facility, using facial recognition, natural language processing, and/or data input and display mechanisms, including publicizing information about the hydroponic facility, including products and/or services of the hydroponic facility, and including marketing third-party products and services.
 6. The system of claim 1, wherein the server is configured to present the employees as characters of the story, and present a task of the employee as an action of the story.
 7. The system of claim 6, wherein the server is configured to present a goal of the hydroponic facility as a plot of the story.
 8. The system of claim 7, wherein the server is configured to present an environment managed by the hydroponic facility as a setting of the story.
 9. The system of claim 8, wherein the server is configured to present a discrete business operation with the environment as a scene of the story.
 10. The system of claim 9, wherein the server is configured to present automated processes as plot devices of the story.
 11. A method for integrated management of animate and inanimate objects of an enterprise including a hydroponic facility, the method comprising: running computer programs with a cloud-based server having a database and a website; storing an employee facial model of each employee of employees of the hydroponic facility in the database; running, with a user device including a smartphone, tablet, and/or personal computer, an application or software including a user interface for connecting to the database and functioning as a data entry and display device; collecting and transmitting data or reacting to received commands with automated devices including a sensor attached to a reservoir of the hydroponic facility and at least one of an electronic switch, a pump, and a hydroponic dosing device attached to the reservoir of the hydroponic facility; building, with a Kiosk coupled to the cloud-based server, a facial model of a person that interacts with the Kiosk and sending the facial model of the person to the server; at the server: monitoring statuses of the animate and inanimate objects of the hydroponic facility, as well as external conditions and actors that affect the hydroponic facility, receiving a measurement value from the sensor attached to the reservoir of the hydroponic facility, automatically actuating the at least one of the electronic switch, the pump, and the hydroponic dosing device attached to the reservoir of the hydroponic facility based upon the measurement value received from the sensor attached to the reservoir of the hydroponic facility, tasking an employee and at least one of the automated devices of the hydroponic facility based on analysis of the statuses including generating an activity list for the employee and an activity list for the at least one of the automated devices, automatically updating the activity list for the employee and the activity list for the at least one of the automated devices based upon a change in the statuses, and managing the hydroponic facility including the employee and the at least one of the automated devices using a structure of a story; at the server, determining whether or not the person is one of the employees based upon the facial model and the employee facial models; performing a first process when the person is one of the employees including guiding the person to the activity list; performing a second process that is different from the first process when the person is not any of the employees; and at the user device, presenting the activity list to the person via the user interface when the person is the one of the employees.
 12. The method of claim 11, further comprising employing cognitive reasoning to provide the hydroponic facility with advice on managing the business operations.
 13. The method of claim 11, further comprising sharing, with a plurality of the enterprise acting communally, data that is aggregated for data mining and/or decision analysis.
 14. The method of claim 11, further comprising logging, with a supplier device, into the website and exchanging information with the hydroponic facility, including order, delivery, and/or invoice information, thereby creating an online order management process for suppliers.
 15. The method of claim 11, further comprising communicating, using the Kiosk coupled to the cloud-based server, with the employees of the hydroponic facility, a customer of the hydroponic facility, and/or people that interact with the hydroponic facility, using facial recognition, natural language processing, and/or data input and display mechanisms, including publicizing information about the hydroponic facility, including products and/or services of the hydroponic facility, and including marketing third-party products and services.
 16. A computer program product for integrated management of animate and inanimate objects of an enterprise including a hydroponic facility, and including one or more computer readable instructions embedded on a tangible, non-transitory computer and configured to cause one or more computer processors to perform the steps of: running computer programs with a cloud-based server having a database and a website; storing an employee facial model of each employee of employees of the hydroponic facility in the database; running, with a user device including a smartphone, tablet, and/or personal computer, an application or software including a user interface for connecting to the database and functioning as a data entry and display device; collecting and transmitting data or reacting to received commands with automated devices including a sensor attached to a reservoir of the hydroponic facility and at least one of an electronic switch, a pump, and a hydroponic dosing device attached to the reservoir of the hydroponic facility; building, with a Kiosk coupled to the cloud-based server, a facial model of a person that interacts with the Kiosk and sending the facial model of the person to the server; with the server: monitoring statuses of the animate and inanimate objects of the hydroponic facility, as well as external conditions and actors that affect the hydroponic facility, receiving a measurement value from the sensor attached to the reservoir of the hydroponic facility, automatically actuating the at least one of the electronic switch, the pump, and the hydroponic dosing device attached to the reservoir of the hydroponic facility based upon the measurement value received from the sensor attached to the reservoir of the hydroponic facility, tasking an employee and at least one of the automated devices of the hydroponic facility based on analysis of the statuses including generating an activity list for the employee and an activity list for the at least one of the automated devices, automatically updating the activity list for the employee and the activity list for the at least one of the automated devices based upon a change in the statuses, and managing the hydroponic facility including the employee and the at least one of the automated devices using a structure of a story; with the server, determining whether or not the person is one of the employees based upon and the facial model and the employee facial models; performing a first process when the person is one of the employees including guiding the person to the activity list; performing a second process that is different from the first process when the person is not any of the employees; and with the user device, presenting the activity list to the person via the user interface when the person is the one of the employees.
 17. The computer program product of claim 16, further comprising employing cognitive reasoning to provide the hydroponic facility with advice on managing the business operations.
 18. The computer program product of claim 16, further comprising sharing, with a plurality of the enterprise acting communally, data that is aggregated for data mining and/or decision analysis.
 19. The computer program product of claim 16, further comprising logging, with a supplier device, into the website and exchanging information with the hydroponic facility, including order, delivery, and/or invoice information, thereby creating an online order management process for suppliers.
 20. The computer program product of claim 16, further comprising communicating, using the Kiosk coupled to the cloud-based server, with the employees of the hydroponic facility, a customer of the hydroponic facility, and/or people that interact with the hydroponic facility, using facial recognition, natural language processing, and/or data input and display mechanisms, including publicizing information about the hydroponic facility, including products and/or services of the hydroponic facility, and including marketing third-party products and services. 